Turn retailer transaction data into precision audience targeting and closed-loop measurement — connecting advertising spend to real purchases at the register.
Learn How It WorksThere is no structured way for brands to target real shoppers or prove that advertising drove in-store purchases. Retailers sit on valuable transaction data that isn't monetized. Brands spend on guesswork.
Brands target demographics instead of actual purchase behavior. There's no way to reach "people who buy hummus weekly" or "high-value grocery shoppers."
Campaigns report impressions and clicks, but no one can prove whether an ad drove a purchase at Spinneys, Tawfeer, or any other retailer.
Retailers process thousands of transactions daily. That data has enormous value for brands — but today, it generates zero revenue for the retailer.
Four steps to turn raw retail data into precision targeting and proof of performance.
Retailers connect their POS or transaction data via a simple API or file upload. Data is hashed and anonymized on ingestion — no raw PII is ever stored.
Audience segments are created from real purchase behavior: category buyers, frequency tiers, basket value, brand loyalists, and lapsed buyers.
Segments are pushed to Meta, Google, and The Trade Desk. Brands run campaigns targeting real shoppers — not guessed demographics.
Ad exposure is matched to post-campaign transaction data. The result: proof of incremental sales lift, SKU by SKU, store by store.
You process thousands of transactions every day across your stores. That data — what people buy, how often, how much they spend — is exactly what brands need to target the right audience and prove their advertising works.
Today, that data sits unused. Adperical Retail Data Network turns it into a revenue stream — without changing your operations, without exposing customer information, and without any infrastructure investment on your end.
You maintain full control. We handle everything else.
No systems to build, no teams to hire. A simple API or data export is all that's needed.
Customer data is hashed and anonymized. No PII is shared with brands. You control access.
Earn from every campaign that targets your audience segments and every measurement study that uses your data.
"You're sitting on one of the most valuable assets in the market — your customer data. Today it's not monetized. We can turn it into a new revenue stream — without changing your operations."
We don't just target audiences — we prove which customers actually bought your product.
"Bought dairy products in the last 30 days"
"Shops 3+ times per week"
"Average basket value above $80"
"Bought Toom Time garlic sauce 5+ times"
"Bought hummus regularly, not in last 60 days"
"First organic product purchase this month"
"+14% lift in garlic sauce purchases at Retailer X Downtown among exposed shoppers vs. control group."
Multiple revenue streams from a single data connection.
Brands pay a CPM premium to target retailer-derived audience segments. You earn on every impression.
Brands pay per lift study using your transaction data for closed-loop attribution.
Percentage of media spend when brands use your sales data for campaign measurement and optimization.
Transparent split on all data-driven revenue. You provide the data, we handle everything else.
Adperical Retail Data Network is built privacy-first. No raw customer data is ever shared with brands.
All identifiers are hashed before storage. Raw PII never enters the system.
You decide which brands can use your data and which segments are available.
Brands see aggregated segments, not individual customer records.
Full transparency on how data is used, with audit logs and access controls.
Built by the team behind Adperical's Incrementality Lab and Retail Lift Measurement systems — the same infrastructure already proving campaign impact at the register.
Whether you're a retailer looking to monetize your data or a brand looking to target and measure with precision — we'd like to talk.
Get in TouchOr email us at info@adperical.com